Jing Zhou

21 papers A 2C 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
CALM: A Copula-Augmented Lightweight Deep Learning Model for Robust Pulmonary Function Assessment from CT Imaging.
BIBM
Xiangyu Meng, Hang Yu, Jing Zhou, Bo Fu, Ying Ji
2025 J jnl
Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes.
J. Comput. Graph. Stat.
Shuyuan Wu, Jing Zhou, Ke Xu, Hansheng Wang
2025 — conf
Confidence-Enhanced Semi-Supervised Learning for Mediastinal Neoplasm Segmentation.
BIBM
Xiaotong Fu, Jing Zhou, Shuying Zhang, Ying Ji
2025 A conf
DSANet: 3D Deformable Slice-Aware Network with Adaptive Slice Grouping for Robust Pulmonary Nodule Detection.
ECAI
Zhongyang Che, Jing Zhou, Zhi Tu, Ying Ji
2025 — conf
DialogMedTab: A Dual-Modality Benchmark Dataset with Cross-Decoder Transformer (CDT) for Sentiment Analysis in Doctor-Patient Dialogues.
BIBM
Guanjing Liu, Jing Zhou, Jing Liu
2025 — conf
High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network.
PAKDD (7)
Siyi Han, Jing Zhou, Xuening Zhu, Zhe Li, Jie Li, Hansheng Wang, Yibing Gong
2025 — conf
MAG-Net: A Multi-Task Deep Learning Framework for Thymic Tumor Diagnosis.
BIBM
Shuying Zhang, Jing Zhou, Ying Ji
2024 J jnl
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques.
CoRR
Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu, Hansheng Wang
2024 J jnl
Gaussian Mixture Models with Rare Events.
J. Mach. Learn. Res.
Xuetong Li, Jing Zhou, Hansheng Wang
2024 A conf
RFDFM: A Deep Factorization Machine Network Model for Invasive Lung Adenocarcinoma Screening in CT Images.
ECAI
Jing Zhou, Chengcheng Guo, Ying Ji
2023 J jnl
Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition.
CoRR
Jing Zhou, Xiaotong Fu, Xirong Li, Wei Feng, Zhang Zhang, Ying Ji
2023 J jnl
An ensemble deep learning model for risk stratification of invasive lung adenocarcinoma using thin-slice CT.
npj Digit. Medicine
Jing Zhou, Bin Hu, Wei Feng, Zhang Zhang, Xiaotong Fu, Handie Shao, Hansheng Wang, Longyu Jin, Siyuan Ai, Ying Ji
2023 C conf
Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement (S).
SEKE
Jing Zhou, Shan Leng, Fang Wang, Hansheng Wang
2023 — conf
Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification.
PAKDD (1)
Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang
2023 — conf
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach.
BIBM
Xiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji
2023 J jnl
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach.
CoRR
Xiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji
2023 — conf
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images.
BIBM
Qijie Wei, Jingyuan Yang, Bo Wang, Jinrui Wang, Jianchun Zhao, Xinyu Zhao, Sheng Yang, Niranchana Manivannan, Youxin Chen, Dayong Ding, Jing Zhou, Xirong Li
2022 J jnl
Asymptotic covariance estimation by Gaussian random perturbation.
Comput. Stat. Data Anal.
Jing Zhou, Wei Lan, Hansheng Wang
2022 J jnl
Embedding Compression for Text Classification Using Dictionary Screening.
CoRR
Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang
2021 J jnl
Progressive principle component analysis for compressing deep convolutional neural networks.
Neurocomputing
Jing Zhou, Haobo Qi, Yu Chen, Hansheng Wang
2019 J jnl
The magic of
Electron. Commer. Res. Appl.
Jilei Zhou, Jing Zhou, Ying Ding, Hansheng Wang